You will build and validate demand-prediction models using classical forecasting and machine learning methods on real business data. Additionally, you will collaborate with AI engineers to package these models as tools for LLM agents.
Drive product vision and strategy for complex, high-stakes digital engagements while serving as the principal product advisor to client executives. Define delivery standards, mentor experienced product managers, and lead cross-functional teams to align engineering, design, and business goals.
You will design and deliver complex, multi-domain systems spanning cloud, data, and AI/ML workloads while collaborating with cross-functional teams. You will also take ownership of system components, contribute to architectural standards, and mentor junior engineers.
Develop and optimize scalable back-end services and event-driven architectures for complex digital platforms. Collaborate with cross-functional teams to integrate mobile applications with enterprise middleware and cloud-based infrastructure.
The AI Engineer will design, build, and scale production-grade AI systems while providing technical leadership and mentorship to the engineering team. They are responsible for defining system architectures, implementing ML pipelines, and ensuring the reliability and performance of AI platforms.
Lead the design and delivery of complex, enterprise-grade generative and agentic AI systems on AWS. Serve as a strategic technical advisor to clients while providing architectural oversight to engineering teams.
The Staff Data Engineer will define data architecture and platform strategy while leading the design of scalable data lakes, warehouses, and pipelines. They will also mentor junior engineers and collaborate with cross-functional teams to integrate AI-forward solutions into enterprise operations.
Define and execute product strategy and vision for major client engagements while driving cross-functional alignment across engineering and design teams. Lead complex discovery processes and maintain trusted advisor relationships with senior client stakeholders to ensure successful product delivery.
The Principal AI Architect will lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI/ML workloads. They will serve as the senior technical authority, defining strategy, mentoring engineers, and driving high-stakes architectural decisions.
The Staff AI Architect will lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI/ML workloads. They will serve as the senior technical authority, defining strategy and mentoring experienced engineers to ensure high-quality, production-ready AI solutions.
The Staff UX/UI Designer will define design strategy for complex multi-platform products and lead end-to-end design across major client engagements. They will also own design system architecture, drive research strategy, and mentor junior designers while championing AI-powered workflows.
The Staff Platform Engineer will define and lead platform engineering strategy across complex, multi-environment cloud systems. They will also oversee infrastructure architecture, DevSecOps practices, and the deployment of AI/ML platform infrastructure.
Lead end-to-end product delivery for complex AI and agentic AI engagements, from discovery through production rollout. Define product roadmaps, manage agent behavior, and communicate technical tradeoffs to executive stakeholders.
The role involves sourcing candidates for technical and delivery positions while managing global interview scheduling and coordination. You will collaborate with recruiters and hiring managers to maintain organized pipelines and ensure a professional candidate experience.
The Senior AI Product Manager will lead end-to-end product delivery for complex GenAI and agentic AI engagements, from discovery through production rollout. They will define product roadmaps, design agent behaviors, and manage cross-functional delivery teams to ensure measurable business outcomes.
You will define the technical strategy and AI architecture while leading the implementation of scalable ML platforms and LLM-powered systems. You will also mentor engineering teams and partner with leadership to drive the AI roadmap and ensure production-ready delivery.
Lead the design and implementation of complex AI/ML systems within client environments while driving solutions from research through production. Collaborate with client teams to translate business problems into scalable AI architectures and mentor junior engineers to ensure high-quality delivery.
Lead the design and implementation of complex AI/ML systems within client environments, ensuring successful delivery from research to production. Collaborate with client teams to translate business problems into scalable AI solutions while mentoring junior engineers and setting technical standards.
The Principal AI Engineering Architect will lead the design and delivery of complex, production-grade multi-agent AI systems across cloud and data platforms. They will serve as the senior technical authority, driving technical strategy while mentoring engineers and ensuring high-stakes architectural decisions align with business goals.
Lead the design and delivery of complex, integration-heavy full-stack platforms and AI services. Define front-end architecture, establish engineering standards, and mentor junior engineers to ensure scalable and reliable production systems.
Lead the end-to-end design and delivery of scalable AI/ML systems and agentic architectures. Establish engineering standards and mentor junior engineers while aligning technical AI strategy with business outcomes.
Lead the end-to-end design and delivery of scalable AI/ML systems and agentic architectures. Establish engineering standards and mentor junior engineers while aligning technical direction with business outcomes.
Build and lead the data practice from the ground up, owning the full P&L and driving revenue growth to $5m in the first year. Act as the senior technical authority for C-suite clients while managing a high-performing team of data consultants and engineers.
Lead the design and delivery of enterprise-grade generative and agentic AI systems using AWS-native services. Serve as a strategic technical advisor to clients, translating business needs into scalable, secure, and production-ready AI architectures.
Provide L2 technical support for remote employees across North and Latin America, managing hardware, software, and connectivity issues. Administer Microsoft 365 identity and access, manage device enrollment via MDM, and support various SaaS platforms.
